Threat Analyst, Machine Learning Operations & Detection Efficacy (Remote)

CrowdStrike

USA - RemotePosted Aug 31, 2026Discovered via the company's careers siteMatch locked

RemoteFull time

About the role

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role

Our CrowdStrike Data Science Machine Learning Operations and Response Team is looking for a Threat Analyst who is both customer- and team-focused. This role will include both response and pro-active aspects. This role will be perfect for anyone who has experience involving detections and/or reverse engineering. The primary responsibility of this role will be to analyze malware and detections by investigating individual customer detection tickets. This team is focused on improving detection capability and efficiency through analysis of malware or other threat detections impacting our customer base. Experience with detections of potentially malicious behavior by machine learning models is a plus. Bring your passion for helping internal partners resolve questions about detections of potentially malicious activity by machine learning and our detection capability. Our goal for the team is to both help internal teams respond to customer-inquiries about threat detection and to provide information about the effects of our detections into the Data Science organization - including detection efficacy and managing false positive detections. This role will work most closely with internal teams such as Technical Account Managers, Falcon Complete, Data Scientists and the Malware Research Center in Data Science.

What You'll Do

Analyze detection data including customer reports to determine which aspects of the machine learning models can be improved

Perform tasks to enable better-management of false positive detections

Analyze binary files to determine their legitimacy

Review current product detections to ensure they are performing to the company standard

Address internal questions and concerns regarding customer threat detections

What You'll Need

Exposure and understanding of different types and functionality of malware

Experience with reverse engineering malware, or malware operations

Knowledge of programming and scripting languages, in particular Python

Fundamental understanding of attributes of binary files such as imports/exports and packers

Ability to demonstrate practical knowledge of research/collection skills and analytical methods

General understanding of threat/risk management and threat/risk assessment

Familiarity with various operating systems

Ability to break down complex problems into workable components

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Bonus Points

Experience in a security operations center or similar environment responding to incidents

A thorough understanding of Windows OS internals and the Windows API

Knowledge of MacOS and/or Linux

Familiarity with tools used in targeted and criminal cyber-intrusions

A background in exploit and vulnerability analysis

Knowledge of a variety of programming languages including C, C++, Java, and assembly

Experience with threat detections by machine learning .

#LI-CS1 #LI-Remote

Benefits of Working at CrowdStrike

Market leader in compensation and equity awards

Comprehensive physical and mental wellness programs

Competitive vacation and holidays for recharge

Paid parental and adoption leaves

Professional development opportunities for all employees regardless of level or role

Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

Vibrant office culture with world class amenities

Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

Find out more about your rights as an applicant.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here .

Expected Close Date of Job Posting is:10-31-2026

Not included in the source posting: about the role, qualifications.

Skills

machine-learningartificial-intelligencecybersecuritycjavalinuxpython

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

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